- Location
- Bengaluru, BDC7B, India
- Type
- Full-time
- Department
- Engineering
- Experience
- 12+ years
- Source
- Workday
Description
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Microsoft Azure Databricks
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Administer Azure Data Lake Storage Gen2: containers, directory/folder structure, lifecycle, access RBAC / POSIX ACLs, storage configuration, and blob inventory report configuration and management the basis for the ADL inventory dataset for the data hub.
Implement and maintain the ADLS security model — directory/container ACLs and the security-group model behind them. Where Entra ID access and security-group management are required, this is done in partnership with an ED&A resource to ensure the security model is implemented accurately and completely. See scope note below on tenant-level access.
Administer Azure Data Factory ADF: integration runtimes IR / Self-Hosted IR, linked services, datasets, managed identities, pipeline environment configuration, connectivity to sources/sinks, and maintaining the pipeline folder organization / governance standard.
Support Azure Databricks platform administration: workspace configuration, cluster/SQL warehouse policies, and Unity Catalog administration catalogs/schemas, grants, external locations, credentials in partnership with the Databricks lead.
Manage secrets and access: Azure Key Vault, service principals / managed identities, and RBAC/ACL provisioning for ED&A resources.
Stand up and configure data-platform resources for the Commercial environment during the foundation phase, and prepare the repeatable pattern used for Phase 2 workload migration.
Be the ED&A interface to Cloud Services / Infrastructure for provisioning, networking, and governance dependencies — translating data-team needs into clean requests and unblocking them quickly.
Implement and document platform standards, naming conventions, and operational runbooks ensure those standards are observed and followed within each owned/managed application and support cost monitoring of data-platform resources 10K/mo run-rate assumption.
Scope boundaries what this role is NOT
It is not a blanket Azure / Entra ID / tenant administrator and does not own network architecture, firewall, or cross-tenant identity/federation — those remain with the central Cloud Services and Infrastructure teams.
Entra ID / security-group access is scoped and conditional: the role needs enough access to implement and validate the data-hub security model, but tenant-wide identity administration is out of scope. Where group management cannot be granted directly, it is executed as a partnership with the responsible ED&A resource. Level of tenant access to be confirmed.
It augments ED&A it does not replace the cloud team's platform-engineering or security responsibilities.
Required skills & experience
Hands-on administration of Azure Data Lake Storage Gen2 including ACL-based security models and blob inventory and Azure Data Factory in a production environment.
Working knowledge of Azure Databricks administration and Unity Catalog governance grants, external locations, ABAC/row-column controls a plus.
Solid grasp of Azure RBAC, ACLs, managed identities/service principals, Key Vault, and Entra ID security groups.
Comfort operating within an enterprise cloud where the tenant/network is centrally managed — i.e., getting things done through, and alongside, a central cloud team.
Strong documentation and stakeholder-coordination skills able to turn ambiguous needs into clear, prioritized requests.
Good to have
Experience with Gov Commercial or other regulated/segmented Azure migrations.
Familiarity with data classification / export-control patterns CUI / ITAR vs. commercial and how they map to Unity Catalog controls.
Power BI gateway / downstream connectivity setup.
IaC exposure Bicep / Terraform / ARM for repeatable resource deployment.
Relevant certs: Azure Administrator Associate AZ-104, Azure Data Engineer Associate DP-203, or Databricks platform-admin credentials.
Additional Information:
- The candidate should have minimum 12 years of experience in Microsoft Azure Databricks.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Microsoft Azure Databricks
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Administer Azure Data Lake Storage Gen2: containers, directory/folder structure, lifecycle, access RBAC / POSIX ACLs, storage configuration, and blob inventory report configuration and management the basis for the ADL inventory dataset for the data hub.
Implement and maintain the ADLS security model — directory/container ACLs and the security-group model behind them. Where Entra ID access and security-group management are required, this is done in partnership with an ED&A resource to ensure the security model is implemented accurately and completely. See scope note below on tenant-level access.
Administer Azure Data Factory ADF: integration runtimes IR / Self-Hosted IR, linked services, datasets, managed identities, pipeline environment configuration, connectivity to sources/sinks, and maintaining the pipeline folder organization / governance standard.
Support Azure Databricks platform administration: workspace configuration, cluster/SQL warehouse policies, and Unity Catalog administration catalogs/schemas, grants, external locations, credentials in partnership with the Databricks lead.
Manage secrets and access: Azure Key Vault, service principals / managed identities, and RBAC/ACL provisioning for ED&A resources.
Stand up and configure data-platform resources for the Commercial environment during the foundation phase, and prepare the repeatable pattern used for Phase 2 workload migration.
Be the ED&A interface to Cloud Services / Infrastructure for provisioning, networking, and governance dependencies — translating data-team needs into clean requests and unblocking them quickly.
Implement and document platform standards, naming conventions, and operational runbooks ensure those standards are observed and followed within each owned/managed application and support cost monitoring of data-platform resources 10K/mo run-rate assumption.
Scope boundaries what this role is NOT
It is not a blanket Azure / Entra ID / tenant administrator and does not own network architecture, firewall, or cross-tenant identity/federation — those remain with the central Cloud Services and Infrastructure teams.
Entra ID / security-group access is scoped and conditional: the role needs enough access to implement and validate the data-hub security model, but tenant-wide identity administration is out of scope. Where group management cannot be granted directly, it is executed as a partnership with the responsible ED&A resource. Level of tenant access to be confirmed.
It augments ED&A it does not replace the cloud team's platform-engineering or security responsibilities.
Required skills & experience
Hands-on administration of Azure Data Lake Storage Gen2 including ACL-based security models and blob inventory and Azure Data Factory in a production environment.
Working knowledge of Azure Databricks administration and Unity Catalog governance grants, external locations, ABAC/row-column controls a plus.
Solid grasp of Azure RBAC, ACLs, managed identities/service principals, Key Vault, and Entra ID security groups.
Comfort operating within an enterprise cloud where the tenant/network is centrally managed — i.e., getting things done through, and alongside, a central cloud team.
Strong documentation and stakeholder-coordination skills able to turn ambiguous needs into clear, prioritized requests.
Good to have
Experience with Gov Commercial or other regulated/segmented Azure migrations.
Familiarity with data classification / export-control patterns CUI / ITAR vs. commercial and how they map to Unity Catalog controls.
Power BI gateway / downstream connectivity setup.
IaC exposure Bicep / Terraform / ARM for repeatable resource deployment.
Relevant certs: Azure Administrator Associate AZ-104, Azure Data Engineer Associate DP-203, or Databricks platform-admin credentials.
Additional Information:
- The candidate should have minimum 12 years of experience in Microsoft Azure Databricks.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills
AzureTerraformSQLDatabricksPower BI
